We consider the Hopfield associative memory for storing m patterns xi(r) in { - 1, + 1}(n), r = 1, em leader,m. The weights are given by the scalar product model w(ij)=(m/n)G,i not equal j,w(ii) identical with 0, where G:R --> R is some nonlinear function, like G(x) z.tbnd6; Sgn(x), which is used in
The storage capacity of the complex phasor neural network
β Scribed by Zhenxiang Chen; Jianwei Shuai; Jincheng Zheng; Riutang Liu; Boxi Wu
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 321 KB
- Volume
- 225
- Category
- Article
- ISSN
- 0378-4371
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β¦ Synopsis
In this paper, the storage capacity of the Q-state complex phasor neural network is analysed with the signal-to-noise theory. The results indicate that the storage capacity of the model approaches that of the Hopfield model if the number Q is small; while the storage capacity is proportional to Q-2 if Q is large.
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